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cpvSNP

Gene set analysis methods for SNP association p-values that lie in genes in given gene sets

Bioconductor version: 3.24 · Package version: 1.45.0

Gene set analysis methods exist to combine SNP-level association p-values into gene sets, calculating a single association p-value for each gene set. This package implements two such methods that require only the calculated SNP p-values, the gene set(s) of interest, and a correlation matrix (if desired). One method (GLOSSI) requires independent SNPs and the other (VEGAS) can take into account correlation (LD) among the SNPs. Built-in plotting functions are available to help users visualize results.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cpvSNP")

Details

MaintainerCaitlin McHugh <mchughc@uw.edu>
AuthorCaitlin McHugh, Jessica Larson, and Jason Hackney
LicenseArtistic-2.0
Downloads rank570
Source branchdevel
biocViewsGeneSetEnrichment, Genetics, GenomicVariation, Pathways, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecpvSNP_1.45.0.tar.gz
Windows binary (x86_64)cpvSNP_1.45.0.zip
macOS binary (arm64)cpvSNP_1.45.0.tgz
macOS binary (x86_64)cpvSNP_1.45.0.tgz
Dependencies

Depends: R (>= 3.5.0), GenomicFeatures, GSEABase (>= 1.24.0)

Imports: methods, corpcor, BiocParallel, ggplot2, plyr

Suggests: TxDb.Hsapiens.UCSC.hg19.knownGene, RUnit, BiocGenerics, ReportingTools, BiocStyle